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Take RANDOMIZED zettelkasten notes with me! thumbnail

Take RANDOMIZED zettelkasten notes with me!

morganeua·
5 min read

Based on morganeua's video on YouTube. If you like this content, support the original creators by watching, liking and subscribing to their content.

TL;DR

Atomic notes (one idea per note) make knowledge modular so it can connect to many future topics without rewriting.

Briefing

Atomic notes plus constant, connection-driven “random note” sessions keep a Zettelkasten system usable long after the original project ends. The core advantage over traditional note-taking isn’t just having lots of notes—it’s ensuring every small idea remains findable later through backlinks and dense interlinking, even when the note seems irrelevant at the moment it’s created.

The workflow centers on two rules: keep notes atomic (one idea per note) and interconnect them as much as possible. Instead of worrying about tags, plugins, or whether notes are “fleeting” versus “permanent,” the system makes a simpler distinction: literature notes versus atomic notes. Literature notes act as containers for what’s learned from reading; atomic notes then break those ideas into small, linkable units. In practice, the atomic notes live in the main Obsidian folder, while a separate “sources” folder stores the underlying references.

A problem emerges during dissertation writing: once research and drafting are done, note growth slows. That creates a future risk—when the next project arrives, the system may not contain the fresh, cross-domain brainstorming material needed to skip the slow “start from scratch” phase. The dissertation becomes a temporary center of gravity, even though the system’s long-term value depends on continuous, varied input.

To prevent the note system from becoming a storehouse only for PhD-related material, the approach is to keep taking notes on random ideas every day. The method uses Obsidian’s Random Note core plugin to surface an existing note at random, then forces new notes to grow outward from that starting point. The constraint matters: new notes can’t be written in isolation. They must connect to the randomly surfaced note (and, by extension, to the notes connected to it). The session is time-boxed—10 minutes per random note—so the practice stays lightweight and frequent rather than perfect.

Three 10-minute examples show how the system evolves under that constraint. One random note about juggling leads to linked notes about running, focus and endurance, and the idea that juggling teaches life skills through simplicity. Another random note surfaces a literature-based article by Amelia Jones on material traces and performativity; because it had few backlinks, the session repairs the isolation by creating new notes tied to specific examples (like the juggling performance “mandala” by The Institute of Jugi), plus conceptual bridges such as “hybrid art” and “relational ontology,” referencing Karen Barad’s work through Jones. A final session starts from Susan Orlene’s Skillshare class notes and branches into writing-focused atomic notes—good writing regardless of genre, choosing writing topics, and the reporting principle of “unpreparedness,” including an alias that reframes it as “research requires not knowing.”

Across all examples, the real payoff is cognitive freshness: repeatedly surfacing a random anchor note keeps prior ideas active, making it easier to form new links quickly. The system stays “seamless” only when the practice happens often—ideally daily for short bursts—so connections remain low-friction when the next project demands them.

Cornell Notes

The Zettelkasten approach described here relies on atomic notes (one idea each) and heavy interconnection so knowledge stays findable later via backlinks and nearby links. Instead of managing tags or “fleeting vs permanent” status, the system separates literature notes from atomic notes: reading goes into literature notes, then ideas get split into atomic notes. A key challenge appears when dissertation work slows new note creation, risking a future system that’s too focused on one project. The fix is to take time-boxed “random note” sessions using Obsidian’s Random Note plugin: surface a note at random, then create new notes only if they connect outward from that anchor. Frequent short sessions keep ideas fresh and make linking feel effortless.

Why does the system emphasize atomic notes and backlinks instead of traditional notebooks or documents?

Atomic notes keep each note modular—one idea per note—so it can connect to multiple other ideas over time. Backlinks and dense linking make retrieval work “by neighborhood”: when a user needs a concept, they can find it by looking at what’s linked around it, not only by searching for a single document. This is presented as the main advantage over note formats that don’t interconnect notes through backlinks.

How does the system handle “literature notes” versus “atomic notes,” and why does that matter?

Literature notes collect what’s learned from reading or consuming information in one place. Then those ideas get broken into atomic notes that live in the main Obsidian folder and become the linkable building blocks. Sources are stored separately in a dedicated “sources” folder. This separation keeps the system organized while still ensuring that the knowledge that matters becomes small and link-ready.

What problem arises during dissertation writing, and what risk does it create for future projects?

Once the dissertation reaches the writing phase, note growth slows because the system is used mainly to draft from existing research. The risk is that the system stops being replenished with cross-domain ideas, so the next project may require a long brainstorming and research cycle. The goal becomes keeping the note garden watered with random ideas so future work can start from connected material already in the system.

How does the Random Note plugin change the note-taking session structure?

The Random Note core plugin surfaces an existing note at random (via an icon labeled “open a random note”). The session then runs for 10 minutes. New notes must connect to the randomly surfaced note—directly or through notes already linked to it—so the practice stays grounded in the system’s existing network rather than becoming free-form journaling.

What does the juggling example demonstrate about building connections quickly?

Starting from a random note about juggling teaches life skills because of simplicity, the session creates linked notes such as “Running is empowering,” “You can’t cheat at juggling,” and “writing is focus and endurance.” It also shows how a note can branch into related domains (running, focus, endurance) while still staying connected to the original anchor through the local graph view.

How does the Amelia Jones article example fix an “orphan” note with few backlinks?

A surfaced note about Amelia Jones’s article had few or no backlinks, making it hard to rediscover later. The 10-minute session repairs that by adding new connected notes: a source note for the performance piece “mandala” and a note for The Institute of Jugi, then conceptual bridge notes like “hybrid art” and “relational ontology.” It also uses the article’s work cited to locate the correct reference for Karen Barad’s related concept, turning an isolated literature note into a connected knowledge node.

Review Questions

  1. How does the requirement that new notes “must grow from connections” change the quality and retrievability of notes compared with writing standalone thoughts?
  2. What tradeoff does the system make by downplaying tags and plugin management, and how does it compensate through structure (atomic notes, literature notes, dense linking)?
  3. In the Random Note workflow, why does time-boxing (10 minutes) matter for maintaining “freshness” and low-friction linking?

Key Points

  1. 1

    Atomic notes (one idea per note) make knowledge modular so it can connect to many future topics without rewriting.

  2. 2

    Dense interlinking enables retrieval through “neighborhood” browsing, not just keyword search.

  3. 3

    Separate literature notes from atomic notes: reading goes into literature notes, then ideas get split into atomic, linkable units.

  4. 4

    When project work slows note creation (e.g., during dissertation drafting), the system risks becoming too narrow for future projects.

  5. 5

    Use Obsidian’s Random Note core plugin to surface an anchor note and run short, 10-minute sessions that force new notes to connect outward from that anchor.

  6. 6

    Time-boxed random sessions keep ideas cognitively fresh, making new connections faster and less energy-intensive.

  7. 7

    Repairing low-backlink “orphan” notes by adding connected examples and conceptual bridges increases long-term findability.

Highlights

The system’s retrieval power comes from backlinks and dense connections, not from storing large documents of unrelated ideas.
Random Note sessions prevent a knowledge system from becoming a single-project archive by continuously adding cross-domain links.
A surfaced article note with few backlinks becomes useful again once new notes are created around concrete examples (like a specific performance) and conceptual bridges.
Frequent, short practice keeps prior ideas “fresh,” which makes linking feel seamless rather than laborious.

Topics

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